finance

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name: finance description: Track stocks, ETFs, indices, crypto (where available), and FX pairs with caching + provider fallbacks. metadata: {"clawdbot":{"config":{"requiredEnv":["TWELVEDATA_API_KEY","ALPHAVANTAGE_API_KEY"],"stateDirs":[".cache/finance"],"example":"# Optional (only if you add a paid provider later)\n# export TWELVEDATA_API_KEY=\"...\"\n# export ALPHAVANTAGE_API_KEY=\"...\"\n"}}}

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Market Tracker Skill

This skill helps you fetch latest quotes and historical series for:

Stocks / ETFs / Indices (e.g., AAPL, MSFT, ^GSPC, VOO)

FX pairs (e.g., USD/ZAR, EURUSD, GBP-JPY)

Crypto tickers supported by the chosen provider (best-effort)

It is optimized for:

fast “what’s the price now?” queries

lightweight tracking with a local watchlist

caching to avoid rate-limits

When to use

Use this skill when the user asks:

“What’s the latest price of ___?”

“Track ___ and ___ and show me daily changes.”

“Give me a 30-day series for ___.”

“Convert USD to ZAR (or track USD/ZAR).”

“Maintain a watchlist and summarize performance.”

Provider strategy (important)

Stocks/ETFs/indices default: Yahoo Finance via yfinance (no key, broad coverage), but it is unofficial and can rate-limit.

FX default: ExchangeRate-API Open Access endpoint (no key, daily update).

If the user needs high-frequency or many symbols, recommend adding a paid provider later.

See providers.md for details and symbol formats.

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Quick start (how you run it)

These scripts are intended to be run from a terminal. The agent should: 1) ensure dependencies installed 2) run the scripts 3) summarize results cleanly

Install:

python -m venv .venv && source .venv/bin/activate (or Windows equivalent)

pip install -r requirements.txt

Commands

1) Latest quote (stock/ETF/index)

Examples:

python scripts/market_quote.py AAPL

python scripts/market_quote.py ^GSPC

python scripts/market_quote.py VOO

2) Latest FX rate

Examples:

python scripts/market_quote.py USD/ZAR

python scripts/market_quote.py EURUSD

python scripts/market_quote.py GBP-JPY

3) Historical series (CSV to stdout)

Examples:

python scripts/market_series.py AAPL --days 30

python scripts/market_series.py USD/ZAR --days 30

4) Watchlist summary (local file)

Add tickers: python scripts/market_watchlist.py add AAPL MSFT USD/ZAR

Remove: python scripts/market_watchlist.py remove MSFT

Show summary: python scripts/market_watchlist.py summary

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Output expectations (what you should return to the user)

For quotes: price, change %, timestamp/source, and any caveats (like “FX updates daily”).

For series: confirm date range, number of points, and show a small preview (first/last few rows).

If rate-limited: explain what happened and retry with backoff OR advise to reduce frequency.

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Safety / correctness

Never claim “real-time” unless the provider is truly real-time. FX open access updates daily.

Always cache responses and throttle repeated calls.

If Yahoo blocks requests, propose a paid provider or increase cache TTL.